GENETIC VARIABILITY, CHARACTER ASSOCIATION AND PATH COEFFICIENT ANALYSIS OF HYBRID RICE IN SOUTH EASTERN GHAT ZONE OF ODISHA

SIAL PARSHURAM¹*, MOHANTY MIHIR RANJAN², K.R. RESHMI RAJ³, PRADHAN KEDARESWAR⁴, JAGADEV PREMNARAYAN^5
1High Altitude Research Station, Pottangi, Koraput, Orissa University of Agriculture and Technology, Bhubaneswar, 751003, Odisha
²Regional Research and Technology Transfer Sub Station, Jeypore, Koraput, Orissa University of Agriculture and Technology, Bhubaneswar, 751003, Odisha
³Department of Plant Breeding and Genetics, College of Agriculture, Orissa University of Agriculture and Technology, Bhubaneswar, 751003, Odisha
⁴Regional Research and Technology Transfer Station, Semiliguda, Koraput, Orissa University of Agriculture and Technology, Bhubaneswar, 751003, Odisha
⁵Directorate of Research, Orissa University of Agriculture and Technology, Bhubaneswar, 751003, Odisha
* Corresponding Author : parsuramsial@gmail.com

Received : 14-03-2018     Accepted : 20-03-2018     Published : 30-03-2018
Volume : 10     Issue : 6       Pages : 5418 - 5420
Int J Agr Sci 10.6 (2018):5418-5420

Keywords : Hybrid rice, genetic variability, yield improvement, character association, path coefficient analysis
Conflict of Interest : None declared
Acknowledgements/Funding : Author thankful to Orissa University of Agriculture and Technology, Bhubaneswar, 751003, Odisha. We are thankful to the district administration of Koraput for this support. Author thankful to Agricultural Technology Management Agency, Koraput for financial support.
Author Contribution : All author equally contributed

Field experiment was carried out during Kharif, 2011, 2012 and 2013 in the South Eastern Ghat Zone at the research farm of Regional Research and Technology Transfer Sub Station (OUAT), Jeypore, Odisha, India to evaluate the performance of 17 rice hybrids in randomized block design with three replications. It was revealed from the results that genotypic coefficient of variation (GCV) and phenotypic coefficient variation (PCV) were high for number of spikelets per plant followed by number of tillers per hill , grain yield (q/ha) and plot yield which reflects the least effect of environmental factors on expression of these traits. High heritability along with high genetic advance was registered for number of spikelets per plant followed by grain yield (q/ha), plot yield and number of tillers per hill suggesting predominance of additive gene action in expression of these traits. Grain yield exhibited significant positive correlations with days to initial flowering, days to 50% flowering, plant height, panicle length and number of spikelets per panicle at both genotypic and phenotypic levels. This indicates the relative utility of all these traits for selection with respect to grain yield. Path coefficient analysis revealed that number of spikelets per panicle had highest positive direct effect on grain yield, followed by no of tillers per hill and days to initial flowering This may indicate that the direct selection for number of spikelets per panicle and days to initial flowering would likely be effective in increasing grain yield

1. Basavaraja P., Rudraradhya M. and Kulkarni R. S. (1997) Mysore J. Agric. Sci., 31, 1-6.
2. Chaubey P.K. and Singh R. (1994) Madras Agric. J., 81(9), 468-470
3. Comstock R. E. and Rabinson H. F. (1952) Genetic parameters, their estimation and significance. In: proceed. On 6th International Grassland Congress. pp. 284 -291.
4. Dewey J. R and Lu K. H. (1959) Agronomy Journal, 51, 515-518.
5. Hanson C. H., Robinson H. F. and Comstock R. E. (1956) Agron. J., 48, 268-272.
6. Ismail C. and Alvarez M. (1986) Cultiva.s Tropicl.,8, 3-11.
7. Johnson H. W., Robinson H. F. and Comstock R. E. (1955) Agron J., 47(7), 314 -318.
8. Panse V. G. and Sukhatme P. V. (1989) Statistical Methods for Agricultural Workers. Indian Council of Agricultural Research, New Delhi, India.
9. Rajeshwari S. and Nadarajan N. (2004) Agric. Sci. Dig., 24,280-282.
10. Rao S. S. and Shrivastava M. N. (1999) Oryza, 36, 13 - 15.
11. Ruth Elizabeth Ekka, Sarawgi A. K. and Raja R. Kanwar (2011) Journal of Rice Research, 4 (1 & 2).
12. Sharma R. K. and Dubey S. D. (1997) Oryza, 34, 8-12.
13. Shobha Rani N., Rama Prasad A.S., Prasad G.S.V., Bhaskar Reddy P. and Krishnaveni B. (2001) Indian J. Pt. Genetic Resources, 14, 206- 209
14. Singh R. K and Chaudhary B. D. (1995) Biometrical methods in quantitative genetic analysis. Kalyani Publishers New Delhi 1995, pp. 215-218.
15. Sweta R.N. and Singh S.K. (2010) World Journal of Agricultural Sciences, 6 (2), 201-206.
16. Ravindra Babu V., Shreya K., Kuldeep Singh Dangi, Usharani G. and Siva Shankar A. (2012) International Journal of Scientific and Research Publications, 2, 3.